「signal」の検索結果

Builds an ideal customer profile from evidence: case studies, testimonials, customer logos, solutions pages, reviews and any sales notes you have. Produces market sizing layers, firmographic segments, a champion and an economic buyer persona, a negative ICP, intent signals, customer proof points and a voice-of-customer section in the buyers' own words, every claim sourced. Triggers: "ICP research", "ideal customer profile", "who are our customers", "customer segments", "buyer personas", "who should we target". Run after /company-context. Not for competitor analysis (use /competitor-research) or call transcript patterns (use /win-loss).

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user wants to create a new CLAUDE.md from scratch for a repository, bootstrap project memory for a new repo, set up a repo for Claude Code for the first time, or completely rewrite an existing CLAUDE.md deemed unsalvageable. Produces a lean, high-signal file under 80 lines (120 hard cap) by scanning the repo for mechanical content (stack, commands, structure) and interviewing the user for judgment content (WHY, gotchas, out-of-scope, approval gates, testing philosophy, external docs like Confluence pages). NOT for auditing or incrementally improving an existing CLAUDE.md — that is the claude-md-improver skill's role.

日本語の概要は準備中です。原文の説明を表示しています。

Post a sitrep (situation report) for a live incident, in its incident channel: a short fixed-layout update for people who haven't read the whole channel — the current picture and what moved since the previous update. Use on "sitrep", "status update", "where are we", "what's the latest", "catch me up", "summarize the incident so far", when asked to keep posting on a schedule ("post a sitrep every hour until resolved"), or when the oncall memory sets an update cadence for this severity and the incident owner asks Claude to keep it. Reads the channel, alert thread and findings posted, re-reads the one key signal, and writes: status line, TL;DR, impact, what changed since the last sitrep, what's in progress and who has it, what's needed, when the next update comes, one chart. Facts come only from what people said or Claude read first-hand; cause and recovery time are never guessed. Fits one phone screen. Not investigation (`incident-investigate`) or the write-up afterwards (`incident-postmortem`).

日本語の概要は準備中です。原文の説明を表示しています。

Use when modifying or reviewing Qwik core package code under packages/qwik, especially reactive primitives, signals, VNodes, cursor behavior, QRLs, optimizer-facing runtime behavior, or Qwik core tests.

日本語の概要は準備中です。原文の説明を表示しています。

Read a Facebook Page and its audience from real data. Pull any Page's public stats (yours or a competitor's): followers, likes, categories, intro, websites. And pull the commenters on a public Page post, since Facebook hides the reactor and liker roster and shows counts only, so commenters are the signal. Powered by Apify, no login. Triggers on "analyze my Page", "competitor Page stats", "who is commenting", "read the comments", "audience insights". Not for writing Page posts (use fb-post-writer).

日本語の概要は準備中です。原文の説明を表示しています。

Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.

日本語の概要は準備中です。原文の説明を表示しています。

Write YouTube community-tab posts: text updates, polls, image-caption posts, and questions that drive comments and bring subscribers back between video uploads. Tuned to the community tab's role as a low-friction touchpoint that keeps a channel warm and feeds session signals. Returns a copy-paste block (community posts have no publishing API, so this is always manual by design). Use to write a community post or poll. Not for video titles or descriptions (use yt-title-optimizer and yt-description-writer).

日本語の概要は準備中です。原文の説明を表示しています。

Competitive intelligence teardown — 5-layer analysis (signals, product, marketing, positioning, strategy) plus sales battlecard. Use when "competitor analysis", "competitive teardown", "who are our competitors", "battlecard", "competitive intel", "compare us to X", "what is X doing", or any request to research, analyze, or position against competitors.

日本語の概要は準備中です。原文の説明を表示しています。

60-Second Token Snapshot — fast assessment with signal, key factors, and price levels without launching subagents

日本語の概要は準備中です。原文の説明を表示しています。

选择和实现状态管理方案时使用。覆盖 React (Redux Toolkit / Zustand / Jotai / Valtio / TanStack Query) / Vue (Pinia) / Angular (NgRx / Signals) / Svelte (Stores / Runes)。融合客户端状态 + 服务端状态分离。

日本語の概要は準備中です。原文の説明を表示しています。

设计产品成功指标和埋点时使用。适用于 PRD 第 12 节、上线效果评估、季度复盘。优先使用 Google HEART 五维度 + GSM（Goals-Signals-Metrics）流程。

日本語の概要は準備中です。原文の説明を表示しています。

设计指标体系时使用。适用于北极星指标、AARRR 海盗模型、漏斗指标、GSM（Goals-Signals-Metrics）框架。帮助团队从业务目标出发，建立可量化、可追踪、可行动的指标体系。

日本語の概要は準備中です。原文の説明を表示しています。

Odoo OWL frontend engineering guidance covering components, templates, reactivity, hooks, props, plugins, registries, debugging, assets, and OWL 1/2/3 migration. Use when working with Odoo frontend components, @odoo/owl, static/src JavaScript/XML templates, signals, proxy, props, t-on, t-ref, t-model, registries, plugins, or OWL migrations.

日本語の概要は準備中です。原文の説明を表示しています。

Finds and compares 184,900 swimming spots worldwide (beaches, lakes, bathing places) with live water temperature, wind, UV and wave signals, local guides and source-backed activity providers, via the public BeachFinder MCP server.

日本語の概要は準備中です。原文の説明を表示しています。

Auto-Editor is a command-line application that automatically edits video and audio by analyzing loudness, motion, and other signals to cut dead space. It exports to Premiere Pro, DaVinci Resolve, Final Cut Pro, ShotCut, and Kdenlive timelines.

日本語の概要は準備中です。原文の説明を表示しています。

Assess a public HTTP(S) page before building browser automation, extraction, or an integration. Use this skill to collect bounded structural evidence, readiness signals, risk flags, acceptance tests, and remediation priorities without sending credentials or accessing private targets.

日本語の概要は準備中です。原文の説明を表示しています。

Creates and manages AWS CloudWatch composite alarms using the CloudWatch PutCompositeAlarm API. Builds alarm rule expressions from existing metric alarms with AND/OR/NOT logic for multi-signal alerting.

日本語の概要は準備中です。原文の説明を表示しています。

Comprehensive SEO analysis for any website or business type. Performs full site audits, single-page deep analysis, technical SEO checks (crawlability, indexability, Core Web Vitals with INP), schema markup detection/validation/generation, content quality assessment (E-E-A-T framework per Dec 2025 update extending to all competitive queries), image optimization, sitemap analysis, and Generative Engine Optimization (GEO) for AI Overviews, ChatGPT, and Perplexity citations. Analyzes AI crawler accessibility (GPTBot, ClaudeBot, PerplexityBot), llms.txt compliance, brand mention signals, and passage-level citability. Industry detection for SaaS, e-commerce, local business, publishers, agencies. Triggers on: "SEO", "audit", "schema", "Core Web Vitals", "sitemap", "E-E-A-T", "AI Overviews", "GEO", "technical SEO", "content quality", "page speed", "structured data".

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user says 'audit my conversion rate', 'cro check', 'find conversion leaks', or asks what is hurting conversion before a paid campaign or after a redesign. Scores six friction dimensions: above-the-fold clarity, CTA hierarchy, form length, social proof, speed, trust signals.

日本語の概要は準備中です。原文の説明を表示しています。

Use when the user says 'find old content', 'what is stale', 'what needs refreshing', or 'what should i archive'. Categorizes pages and posts as fresh, aging, stale, or archive-candidate by age, traffic signal, and internal link count, with a refresh, redirect, or archive call per item.

日本語の概要は準備中です。原文の説明を表示しています。

Aggregate feedback signals across all active loops. Reports health, trajectory, overdue checks, regression warnings, and Goodhart's Law violations.

日本語の概要は準備中です。原文の説明を表示しています。

Pull snapshots from all configured metric sources, compute deltas against prior snapshots, flag unexplained signals, and draft evidence entries for canvas files. One entry point for all external product/market metrics.

日本語の概要は準備中です。原文の説明を表示しています。

Reference for dynamic programming patterns — recognition signals, constraint mapping, Python templates, edge cases, and common mistakes for 8 core DP techniques

日本語の概要は準備中です。原文の説明を表示しています。

Reference for advanced data structure patterns used in competitive programming and technical interviews. Covers heaps, monotonic stacks, tries, segment trees, Fenwick trees, stack-based parsing, and ordered sets with Python templates, recognition signals, and edge case guidance.

日本語の概要は準備中です。原文の説明を表示しています。